Recent increase in the availability of learning data has given educational data mining an
importance and momentum, in order to better understand and optimize the learning process …

Efforts to raise the bar of higher education so as to respond to dynamic societal/industry
needs have led to a number of initiatives, including artificial neural network (ANN) based …

The abundance of accessible educational data, supported by the technology-enhanced
learning platforms, provides opportunities to mine learning behavior of students, addressing …

The process of using analytic data to inform instructional decision-making is acknowledged
to be complex; however, details of how it occurs in authentic teaching contexts have not …

Learning analytics is the analysis of electronic learning data which allows teachers, course
designers and administrators of virtual learning environments to search for unobserved …

The generation and processing of data through digital technologies is an integral element of
contemporary society, as reflected in recent debates over online data privacy,'Big Data'and …

Formative assessment is considered to be helpful in students' learning support and teaching
design. Following Aufschnaiter's and Alonzo's framework, formative assessment practices of …

Where is the evidence for learning analytics? In particular, where is the evidence that it
improves learning in practice? Can we rely on it? Currently, there are vigorous debates …

Frente a las resistencias, la educación a distancia y digital va tomando ventaja sobre los
formatos presenciales. Cuando los diseños pedagógicos son acertados, la calidad de los …

This article addresses a relatively unexplored area in the emerging field of learning
analytics, the design of learning analytics interventions. A learning analytics intervention is …